Pricing

$4.00 / 1,000 companies

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Linkedin Company Details Scraper & Finder (No Cookies) ✅ Bulk

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Developed by

HarvestAPI

Extract detailed information from LinkedIn Companies such as company name, address, phone numbers, website, employee count, and more. Find LinkedIn company URLs by name in Bulk. No cookies or account required.

0.0 (0)

Pricing

$4.00 / 1,000 companies

Total users

Monthly users

Runs succeeded

>99%

Last modified

2 days ago

Automation

Lead generation

Open source

You can access the Linkedin Company Details Scraper & Finder (No Cookies) ✅ Bulk programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = { "companies": [
9        "https://www.linkedin.com/company/google",
10        "https://www.linkedin.com/company/microsoft",
11        "Netflix",
12        "Oracle Corp",
13    ] }
14
15# Run the Actor and wait for it to finish
16run = client.actor("harvestapi/linkedin-company").call(run_input=run_input)
17
18# Fetch and print Actor results from the run's dataset (if there are any)
19print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
20for item in client.dataset(run["defaultDatasetId"]).iterate_items():
21    print(item)
22
23# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Linkedin Company Details Scraper & Finder (No Cookies) ✅ Bulk API in Python

The Apify API client for Python is the official library that allows you to use Linkedin Company Details Scraper & Finder (No Cookies) ✅ Bulk API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

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